v0.61.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.
- README.md +85 -40
- release_assets.json +21 -4
README.md
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---
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library_name: pytorch
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license:
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tags:
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- backbone
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Video MAE (Masked Auto Encoder) is a network for doing video classification that uses the ViT (Vision Transformer) backbone.
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This is based on the implementation of Video-MAE found [here](https://github.com/MCG-NJU/VideoMAE).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.
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For more device-specific assets and performance metrics, visit **[Video-MAE on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/video_mae)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [Video-MAE on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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| Video-MAE | ONNX | float | Snapdragon® X2 Elite |
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| Video-MAE | ONNX | float | Snapdragon® X Elite |
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| Video-MAE | ONNX | float | Snapdragon® 8 Gen 3 Mobile |
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| Video-MAE | ONNX | float |
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™
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| Video-MAE | ONNX | float | Qualcomm®
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™
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| Video-MAE | ONNX | float |
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| Video-MAE | ONNX | float |
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## License
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* The license for the original implementation of Video-MAE can be found
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---
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library_name: pytorch
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license: cc-by-4.0
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tags:
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- backbone
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- android
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Video MAE (Masked Auto Encoder) is a network for doing video classification that uses the ViT (Vision Transformer) backbone.
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This is based on the implementation of Video-MAE found [here](https://github.com/MCG-NJU/VideoMAE).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/video_mae) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[Video-MAE on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/video_mae)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/video_mae) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [Video-MAE on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/video_mae) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| Video-MAE | ONNX | float | Snapdragon® X2 Elite | 464.527 ms | 9 - 9 MB | NPU
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| Video-MAE | ONNX | float | Snapdragon® X Elite | 615.118 ms | 188 - 188 MB | NPU
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| Video-MAE | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 398.964 ms | 1 - 1086 MB | NPU
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| Video-MAE | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1389.915 ms | 10 - 954 MB | NPU
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 558.373 ms | 9 - 22 MB | NPU
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 596.743 ms | 0 - 217 MB | NPU
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| Video-MAE | ONNX | float | Qualcomm® QCS8450 | 1389.915 ms | 10 - 954 MB | NPU
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 561.03 ms | 9 - 21 MB | NPU
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 615.118 ms | 188 - 188 MB | NPU
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| Video-MAE | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 379.298 ms | 2 - 790 MB | NPU
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| Video-MAE | ONNX | float | Snapdragon® 8 Elite Mobile | 379.298 ms | 2 - 790 MB | NPU
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| Video-MAE | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 469.389 ms | 4 - 795 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® X2 Elite | 329.842 ms | 5 - 5 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® X Elite | 491.778 ms | 100 - 100 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 369.404 ms | 2 - 1092 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1446.026 ms | 6 - 1156 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2317.358 ms | 0 - 7 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 543.863 ms | 1 - 9 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 490.668 ms | 0 - 110 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® QCS8450 | 1446.026 ms | 6 - 1156 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 569.515 ms | 0 - 7 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 491.778 ms | 100 - 100 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1079.659 ms | 4 - 1357 MB | NPU
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| Video-MAE | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 289.993 ms | 1 - 874 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 289.993 ms | 1 - 874 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 362.465 ms | 1 - 896 MB | NPU
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| Video-MAE | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1079.659 ms | 4 - 1357 MB | NPU
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| Video-MAE | QNN_DLC | float | Snapdragon® X2 Elite | 254.278 ms | 9 - 9 MB | NPU
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| Video-MAE | QNN_DLC | float | Snapdragon® X Elite | 470.333 ms | 9 - 9 MB | NPU
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| Video-MAE | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 382.535 ms | 9 - 986 MB | NPU
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| Video-MAE | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 559.657 ms | 9 - 899 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 519.829 ms | 9 - 21 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1125.572 ms | 1 - 678 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 460.174 ms | 9 - 902 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® SA8775P | 480.261 ms | 0 - 678 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® SA8650P | 480.261 ms | 0 - 678 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® SA8255P | 480.261 ms | 0 - 678 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® QCS8450 | 559.657 ms | 9 - 899 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 475.947 ms | 9 - 20 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 470.333 ms | 9 - 9 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 266.98 ms | 9 - 687 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® SA7255P | 1125.572 ms | 1 - 678 MB | NPU
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| Video-MAE | QNN_DLC | float | Qualcomm® SA8295P | 616.052 ms | 1 - 650 MB | NPU
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| Video-MAE | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 266.98 ms | 9 - 687 MB | NPU
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| Video-MAE | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 290.483 ms | 9 - 703 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 335.934 ms | 5 - 5 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 374.793 ms | 5 - 1246 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 518.494 ms | 5 - 12 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 980.695 ms | 2 - 833 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 506.112 ms | 5 - 7 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA8775P | 514.795 ms | 1 - 797 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA8650P | 514.795 ms | 1 - 797 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA8255P | 514.795 ms | 1 - 797 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 509.565 ms | 2 - 8 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 3488.789 ms | 5 - 1344 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 712.528 ms | 5 - 1154 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 291.759 ms | 5 - 781 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Qualcomm® SA7255P | 980.695 ms | 2 - 833 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 291.759 ms | 5 - 781 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 334.292 ms | 5 - 809 MB | NPU
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| Video-MAE | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 712.528 ms | 5 - 1154 MB | NPU
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| Video-MAE | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 122.54 ms | 0 - 971 MB | NPU
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| Video-MAE | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 267.562 ms | 1 - 935 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 184.668 ms | 0 - 208 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 469.689 ms | 1 - 682 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 162.658 ms | 0 - 3 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® SA8775P | 181.324 ms | 0 - 710 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® SA8650P | 181.324 ms | 0 - 710 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® SA8255P | 181.324 ms | 0 - 710 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® QCS8450 | 267.562 ms | 1 - 935 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 179.46 ms | 0 - 207 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 90.397 ms | 0 - 685 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® SA7255P | 469.689 ms | 1 - 682 MB | NPU
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| Video-MAE | TFLITE | float | Qualcomm® SA8295P | 238.617 ms | 0 - 649 MB | NPU
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| Video-MAE | TFLITE | float | Snapdragon® 8 Elite Mobile | 90.397 ms | 0 - 685 MB | NPU
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| Video-MAE | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 63.849 ms | 0 - 728 MB | NPU
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## License
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* The license for the original implementation of Video-MAE can be found
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release_assets.json
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{
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"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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"qairt": "2.45.0.260326154327",
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"onnx_runtime": "1.27.1"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.
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},
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"tflite": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.
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}
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| 25 |
}
|
| 26 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.61.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-tflite-float.zip"
|
| 24 |
+
}
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"w8a16": {
|
| 28 |
+
"universal_assets": {
|
| 29 |
+
"onnx": {
|
| 30 |
+
"tool_versions": {
|
| 31 |
+
"qairt": "2.45.0.260326154327",
|
| 32 |
+
"onnx_runtime": "1.27.1"
|
| 33 |
+
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-onnx-w8a16.zip"
|
| 35 |
+
},
|
| 36 |
+
"qnn_dlc": {
|
| 37 |
+
"tool_versions": {
|
| 38 |
+
"qairt": "2.45.0.260326154327"
|
| 39 |
+
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/video_mae/releases/v0.61.0/video_mae-qnn_dlc-w8a16.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|